Package: BAYSTAR 0.2-10

BAYSTAR: On Bayesian Analysis of Threshold Autoregressive Models

Fit two-regime threshold autoregressive (TAR) models by Markov chain Monte Carlo methods.

Authors:Cathy W. S. Chen, Edward M.H. Lin, F.C. Liu, and Richard Gerlach

BAYSTAR_0.2-10.tar.gz
BAYSTAR_0.2-10.zip(r-4.7-any)BAYSTAR_0.2-10.zip(r-4.6-any)BAYSTAR_0.2-10.zip(r-4.5-any)
BAYSTAR_0.2-10.tgz(r-4.6-any)BAYSTAR_0.2-10.tgz(r-4.5-any)
BAYSTAR_0.2-10.tar.gz(r-4.7-any)BAYSTAR_0.2-10.tar.gz(r-4.6-any)
BAYSTAR_0.2-10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BAYSTAR/json (API)

# Install 'BAYSTAR' in R:
install.packages('BAYSTAR', repos = c('https://edmhlin.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 4 scripts 432 downloads 8 exports 3 dependencies

Last updated from:0b6d09544d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK85
source / vignettesOK158
linux-releaseOK88
macos-releaseOK125
macos-oldrelOK177
windows-develOK59
windows-releaseOK59
windows-oldrelOK68
wasm-releaseOK75

Exports:BAYSTARTAR.coeffTAR.lagdTAR.likTAR.sigmaTAR.simuTAR.summaryTAR.thres

Dependencies:codalatticemvtnorm